
Slide

Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Renaud, P.; Chartier, S.; Kaufman, D.
Perceptual constancy and the dynamics of extracting perceptual Visual invariants in virtual immersion Article d'actes
Dans: Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008, p. 169–174, Innsbruck, 2008, ISBN: 978-0-88986-717-8.
Résumé | Liens | BibTeX | Étiquettes: Constancy, Control theory, Dynamics, Fractal dynamics, Fractals, Gaze behaviors, Motor behaviors, Non-linear properties, Pattern Recognition, Signal processing, virtual reality, vision, Visual explorations, Visual invariances, Visual Perception
@inproceedings{renaud_perceptual_2008,
title = {Perceptual constancy and the dynamics of extracting perceptual Visual invariants in virtual immersion},
author = {P. Renaud and S. Chartier and D. Kaufman},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-62949103012&partnerID=40&md5=9df991c7218b66f2dfa6cd05b4b58151},
isbn = {978-0-88986-717-8},
year = {2008},
date = {2008-01-01},
booktitle = {Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008},
pages = {169–174},
address = {Innsbruck},
abstract = {Visual perception relies on perceptual constancy to guide motor behavior. This constancy can be assimilated to topological invariance extracted from visual exploration of the surrounding. In this paper, gaze behavior data coming from an experiment conducted in virtual immersion are analyzed to better understand their nonlinear properties. Results point toward an explanation of the process of perceptual visual invariance extraction in terms of fractal dynamics.},
keywords = {Constancy, Control theory, Dynamics, Fractal dynamics, Fractals, Gaze behaviors, Motor behaviors, Non-linear properties, Pattern Recognition, Signal processing, virtual reality, vision, Visual explorations, Visual invariances, Visual Perception},
pubstate = {published},
tppubtype = {inproceedings}
}
Visual perception relies on perceptual constancy to guide motor behavior. This constancy can be assimilated to topological invariance extracted from visual exploration of the surrounding. In this paper, gaze behavior data coming from an experiment conducted in virtual immersion are analyzed to better understand their nonlinear properties. Results point toward an explanation of the process of perceptual visual invariance extraction in terms of fractal dynamics.